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CCA-505 Questions and Answers

CCA-505

Answer: B

QUESTION: 41

Your cluster is running MapReduce vserion 2 (MRv2) on YARN. Your ResourceManager is configured to use the FairScheduler. Now you want to configure your scheduler such that a new user on the cluster can submit jobs into their own queue application submission. Which configuration should you set?

You can specify new queue name when user submits a job and new queue can be created dynamically if yarn.scheduler.fair.user-as-default-queue = false

You can specify new queue name per application in allocation.fair.allow-undeclared- people = true automatically assigned to the application queue

You can specify new queue name when user submits a job and new queue can be created dynamically if the property yarn.scheduler.fair.allow-undecleared-pools = true

Answer: A

QUESTION: 42

A user comes to you, complaining that when she attempts to submit a Hadoop job, it fails. There is a directory in HDFS named /data/input. The Jar is named j.jar, and the driver class is named DriverClass. She runs command: hadoop jar j.jar DriverClass

/data/input/data/output The error message returned includes the line: PrivilegedActionException as:training (auth:SIMPLE) cause.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does not exits: file :/data/input What is the cause of the error?

The Hadoop configuration files on the client do not point to the cluster

The directory name is misspelled in HDFS

The name of the driver has been spelled incorrectly on the command line

The output directory already exists

The user is not authorized to run the job on the cluster

Answer: A

QUESTION: 43

In CDH4 and later, which file contains a serialized form of all the directory and files inodes in the filesystem, giving the NameNode a persistent checkpoint of the filesystem metadata?

Answer: C

Cloudera Certified Administrator for Apache Hadoop (CCAH)
Training Certification
| Hadoop Admin CCAH
A Cloudera Certified Administrator for Apache Hadoop (CCAH) certification proves that you have demonstrated your technical knowledge, skills, and ability to configure, deploy, maintain, and secure an Apache Hadoop cluster.
Cloudera Certified Administrator for Apache Hadoop (CCA-500)
Number of Questions: 60 questions
Time Limit: 90 minutes
Passing Score: 70%
Language: English, Japanese
Price: USD $295
REGISTER FOR CCA-500
Exam Sections and Blueprint
1. HDFS (17%)
Describe the function of HDFS daemons
Describe the normal operation of an Apache Hadoop cluster, both in data storage and in data processing
Identify current features of computing systems that motivate a system like Apache Hadoop
Classify major goals of HDFS Design
Given a scenario, identify appropriate use case for HDFS Federation
Identify components and daemon of an HDFS HA-Quorum cluster
Analyze the role of HDFS security (Kerberos)
Determine the best data serialization choice for a given scenario
Describe file read and write paths
Identify the commands to manipulate files in the Hadoop File System Shell
2. YARN (17%)
Understand how to deploy core ecosystem components, including Spark, Impala, and Hive
Understand how to deploy MapReduce v2 (MRv2 / YARN), including all YARN daemons
Understand basic design strategy for YARN and Hadoop
Determine how YARN handles resource allocations
Identify the workflow of job running on YARN
Determine which files you must change and how in order to migrate a cluster from MapReduce version 1 (MRv1) to MapReduce version 2 (MRv2) running on YARN
3. Hadoop Cluster Planning (16%)
Principal points to consider in choosing the hardware and operating systems to host an Apache Hadoop cluster
Analyze the choices in selecting an OS
Understand kernel tuning and disk swapping
Given a scenario and workload pattern, identify a hardware configuration appropriate to the scenario
Given a scenario, determine the ecosystem components your cluster needs to run in order to fulfill the SLA
Cluster sizing: given a scenario and frequency of execution, identify the specifics for the workload, including CPU, memory, storage, disk I/O
Disk Sizing and Configuration, including JBOD versus RAID, SANs, virtualization, and disk sizing requirements in a cluster
Network Topologies: understand network usage in Hadoop (for both HDFS and MapReduce) and propose or identify key network design components for a given scenario
4. Hadoop Cluster Installation and Administration (25%)
Given a scenario, identify how the cluster will handle disk and machine failures
Analyze a logging configuration and logging configuration file format
Understand the basics of Hadoop metrics and cluster health monitoring
Identify the function and purpose of available tools for cluster monitoring
Be able to install all the ecoystme components in CDH 5, including (but not limited to): Impala, Flume, Oozie, Hue, Cloudera Manager, Sqoop, Hive, and Pig
Identify the function and purpose of available tools for managing the Apache Hadoop file system
5. Resource Management (10%)
Understand the overall design goals of each of Hadoop schedulers
Given a scenario, determine how the FIFO Scheduler allocates cluster resources
Given a scenario, determine how the Fair Scheduler allocates cluster resources under YARN
Given a scenario, determine how the Capacity Scheduler allocates cluster resources
6. Monitoring and Logging (15%)
Understand the functions and features of Hadoop’s metric collection abilities
Analyze the NameNode and JobTracker Web UIs
Understand how to monitor cluster daemons
Identify and monitor CPU usage on master nodes
Describe how to monitor swap and memory allocation on all nodes
Identify how to view and manage Hadoop’s log files
Interpret a log file
Become a certified big data professional
Demonstrate your expertise with the most sought-after technical skills. Big data success requires professionals who can prove their mastery with the tools and techniques of the Hadoop stack. However, experts predict a major shortage of advanced analytics skills over the next few years. At Cloudera, we’re drawing on our industry leadership and early corpus of real-world experience to address the big data talent gap.
Training
| Certification
Certification
Cloudera Certified Professional program (CCP)
The industry's most demanding performance-based certifications, CCP evaluates and recognizes a candidate's mastery of the technical skills most sought after by employers.
CCP Data Engineer
CCP Data Engineers possesses the skills to develop reliable, autonomous, scalable data pipelines that result in optimized data sets for a variety of workloads.
Learn More
CCP Data Scientist
Named one of the top five big data certifications, CCP Data Scientists have demonstrated the skills of an elite group of specialists working with big data. Candidates must prove their abilities under real-world conditions, designing and developing a production-ready data science solution that is peer-evaluated for its accuracy, scalability, and robustness.
Learn More
Cloudera Certified Associate (CCA)
CCA exams test foundational skills and sets forth the groundwork for a candidate to achieve mastery under the CCP program
CCA Spark and Hadoop Developer
A CCA Spark and Hadoop Developer has proven his or her core developer skills to write and maintain Apache Spark and Apache Hadoop projects.
Learn More
Cloudera Certified Administrator for Apache Hadoop (CCAH)
Individuals who earn CCAH have demonstrated the core systems administrator skills sought by companies and organizations deploying Apache Hadoop.
How do I Register and Schedule my Cloudera exam?
Follow the link on each exam page to the registration form. Once you complete your registration on university.cloudera.com, you will receive an email with instructions asking you to create an account at examslocal.com using the same email address you used to register with Cloudera. Once you create an account and log in on examslocal.com, navigate to "Schedule an Exam", and then enter "Cloudera" in the "Search Here" field. Select the exam you want to schedule and follow the instructions to schedule your exam.
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Cloudera no longer offers exams in test centers or approves the delivery of our exams in test centers.
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You are marked as a no-show for the exam and you forfeit any fees you paid for the exam.
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One form of government issued photo identification (i.e. driver's license, passport). Any international passport or government issued form of identification must contain Western (English) characters. You will be required to provide a means of photo identification before the exam can be launched. If acceptable proof of identification is not provided to the proctor prior to the exam, you will be refused entry to the exam. You must also consent to having your photo taken. The ID will be used for identity verification only and will not be stored. The proctor cannot release the exam to you until identification has been successfully verified and you have agreed to the terms and conditions of the exam. No refund or rescheduling is provided when an exam cannot be started due to failure to provide proper identification.
You must login to take the exam on a computer that meets the minimum requirements provided within the compatibility check: https://www.examslocal.com/ScheduleExam/Home/CompatibilityCheck
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To start your exam, login at https://www.examslocal.com, click "My Exams", and follow the instructions after selecting the exam that you want to start.
What may I have at my desk during the exam?
For CCA exams and CCAH, you may not drink, eat, or have anything on your desk. Your desk must be free of all materials. You may not use headphones or leave your desk or the exam session for any reason. You may not sit in front of a bright light (be backlight). Your face must be clearly visible to the proctor at all times. You must be alone.
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What is Cloudera’s retake policy?
Candidates who fail an exam must wait a period of thirty calendar days, beginning the day after the failed attempt, before they may retake the same exam. You may take the exam as many times as you want until you pass, however, you must pay for each attempt; Cloudera offers no discounts for retake exams. Retakes are not allowed after the successful completion of a test.
Does my certification expire?
CCA certifications are valid for two years. CCP certifications are valid for three years.
CCDH, CCAH, and CCSHB certifications align to a specific CDH release and remains valid for that version. Once that CDH version retires or the certification or exam retires, your certification retires.
Are there prerequisites? Do I need to take training to take a certification test?
There are no prerequisites. Anyone can take a Cloudera Certification Test at anytime.
I passed, but I'd like to take the test again to improve my score. Can I do that?
Retakes are not allowed after the successful completion of a test. A test result found to be in violation of the retake policy will not be processed, which will result in no credit awarded for the test taken. Repeat violators will be banned from participation in the Cloudera Certification Program.
Can I review my test or specific test questions and answers?
Cloudera certification tests adhere to the industry standard for high-stakes certification tests, which includes the protection of all test content. As a certifying body, we go to great lengths to protect the integrity of the items in our item pool. Cloudera does not provide exam items in any other format than a proctored environment.
What is the confidentiality agreement I must agree to in order to test?All content, specifically questions, answers, and exhibits of the certification exams are the proprietary and confidential property of Cloudera. They may not be copied, reproduced, modified, published, uploaded, posted, transmitted, shared, or distributed in any way without the express written authorization of Cloudera. Candidates who sit for Cloudera exams must agree they have read and will abide by the terms and conditions of the Cloudera Certifications and Confidentiality Agreement before beginning the certification exam. The agreement applies to all exams. Agreeing and adhering to this agreement is required to be officially certified and to maintain valid certification. Candidates must first accept the terms and conditions of the Cloudera Certification and Confidentiality Agreement prior to testing. Failure to accept the terms of this Agreement will result in a terminated exam and forfeiture of the entire exam fee.
If Cloudera determines, in its sole discretion, that a candidate has shared any content of an exam and is in violation of the Cloudera Certifications and Confidentiality Agreement, it reserves the right to take action up to and including, but not limited to, decertification of an individual and a permanent ban of the individual from Cloudera Certification programs, revocation of all previous Cloudera Certifications, notification to the candidate's employer, and notification to law enforcement agencies. Candidates found in violation of the Cloudera Certifications and Confidentiality Agreement forfeit all fees previously paid to Cloudera or to Cloudera's authorized vendors and may be required to pay additional fees for services rendered.
Fraudulent Activity Policy
Cloudera reserves the right to take action against any individual involved in fraudulent activities, including, but not limited to, fraudulent use of vouchers or promotional codes, reselling exam discounts and vouchers, cheating on an exam (including, but not limited to, creating, using, or distributing test dumps), alteration of score reports, alteration of completion certificates, violation of exam retake policies, or other activities deemed fraudulent by Cloudera.
If Cloudera determines, in its sole discretion, that fraudulent activity has taken place, it reserves the right to take action up to and including, but not limited to, decertification of an individual either temporarily until remediation occurs or as a permanent ban from Cloudera Certification programs, revocation of all previous Cloudera Certifications, notification to a candidate's employer, and notification to law enforcement agencies. Candidates found committing fraudulent activities forfeit all fees previously paid to Cloudera or to Cloudera's authorized vendors and may be required to pay additional fees for services rendered.
One form of government issued photo identification (i.e. driver's license, passport). Any international passport or government issued form of identification must contain Western (English) characters. You will be required to provide a means of photo identification before the exam can be launched. If acceptable proof of identification is not provided to the proctor prior to the exam, you will be refused entry to the exam. You must also consent to having your photo taken. The ID will be used for identity verification only and will not be stored. The proctor cannot release the exam to you until identification has been successfully verified and you have agreed to the terms and conditions of the exam. No refund or rescheduling is provided when an exam cannot be started due to failure to provide proper identification.
Benefits
Individuals
Performance-Based
Employers want to hire candidates with proven skills. The CCP program lets you demonstrate your skills in a rigorous hands-on environment.
Skills not Products
Cloudera’s ecosystem is defined by choice and so are our exams. CCP exams test your skills and give you the freedom to use any tool on the cluster. You are given a customer problem, a large data set, a cluster, and a time limit. You choose the tools, languages, and approach. (see below for cluster configuration)
Promote and Verify
As a CCP, you've proven you possess skills where it matters most. To help you promote your achievement, Cloudera provides the following for all current CCP credential holders:
A Unique profile link on certification.cloudera.com to promote your skills and achievements to your employer or potential employers which is also integrated to LinkedIn. (Example of a current CCP profile)
CCP logo for business cards, résumés, and online profiles
Current
The big data space is rapidly evolving. CCP exams are constantly updated to reflect the skills and tools relevant for today and beyond. And because change is the only constant in open-source environments, Cloudera requires all CCP credentials holders to stay current with three-year mandatory re-testing in order to maintain current CCP status and privileges.
Companies
Performance-Based
Cloudera’s hands-on exams require candidates to prove their skills on a live cluster, with real data, at scale. This means the CCP professional you hire or manage have skills where it matters.
Verified
The CCP program provides a way to find, validate, and build a team of qualified technical professionals
Current
The big data space is rapidly evolving. CCP exams are constantly updated to reflect the skills and tools relevant for today and beyond. And because change is the only constant in open-source environments, Cloudera requires all CCP credentials holders to stay current with three-year mandatory re-testing.
CCP Data Engineer Exam (DE575) Details
Exam Question Format
You are given five to eight customer problems each with a unique, large data set, a CDH cluster, and four hours. For each problem, you must implement a technical solution with a high degree of precision that meets all the requirements. You may use any tool or combination of tools on the cluster (see list below) -- you get to pick the tool(s) that are right for the job. You must possess enough industry knowledge to analyze the problem and arrive at an optimal approach given the time allowed. You need to know what you should do and then do it on a live cluster under rigorous conditions, including a time limit and while being watched by a proctor.
Audience and Prerequisites
Candidates for CCP Data Engineer should have in-depth experience developing data engineering solutions and a high-level of mastery of the skills below. There are no other prerequisites.
Register for DE575
Required Skills
Data Ingest
The skills to transfer data between external systems and your cluster. This includes the following:
Import and export data between an external RDBMS and your cluster, including the ability to import specific subsets, change the delimiter and file format of imported data during ingest, and alter the data access pattern or privileges.
Ingest real-time and near-real time (NRT) streaming data into HDFS, including the ability to distribute to multiple data sources and convert data on ingest from one format to another.
Load data into and out of HDFS using the Hadoop File System (FS) commands.
Transform, Stage, Store
Convert a set of data values in a given format stored in HDFS into new data values and/or a new data format and write them into HDFS or Hive/HCatalog. This includes the following skills:
Convert data from one file format to another
Write your data with compression
Convert data from one set of values to another (e.g., Lat/Long to Postal Address using an external library)
Change the data format of values in a data set
Purge bad records from a data set, e.g., null values
Deduplication and merge data
Denormalize data from multiple disparate data sets
Evolve an Avro or Parquet schema
Partition an existing data set according to one or more partition keys
Tune data for optimal query performance
Data Analysis
Filter, sort, join, aggregate, and/or transform one or more data sets in a given format stored in HDFS to produce a specified result. All of these tasks may include reading from Parquet, Avro, JSON, delimited text, and natural language text. The queries will include complex data types (e.g., array, map, struct), the implementation of external libraries, partitioned data, compressed data, and require the use of metadata from Hive/HCatalog.
Write a query to aggregate multiple rows of data
Write a query to calculate aggregate statistics (e.g., average or sum)
Write a query to filter data
Write a query that produces ranked or sorted data
Write a query that joins multiple data sets
Read and/or create a Hive or an HCatalog table from existing data in HDFS
Workflow
The ability to create and execute various jobs and actions that move data towards greater value and use in a system. This includes the following skills:
Create and execute a linear workflow with actions that include Hadoop jobs, Hive jobs, Pig jobs, custom actions, etc.
Create and execute a branching workflow with actions that include Hadoop jobs, Hive jobs, Pig jobs, custom action, etc.
Orchestrate a workflow to execute regularly at predefined times, including workflows that have data dependencies
CCP Data Scientist (Cloudera Certified Professional Program)
CCP Data Scientists have demonstrated their skills in working with big data at an elite level. Candidates must prove their abilities on a live cluster with real data sets.
Prove your expertise at the highest level
Required Exams
DS700 – Descriptive and Inferential Statistics on Big Data
DS701 – Advanced Analytical Techniques on Big Data
DS702 - Machine Learning at Scale
CCA Spark and Hadoop Developer Exam (CCA175) Details
Number of Questions: 10–12 performance-based (hands-on) tasks on CDH5 cluster. See below for full cluster configuration
Time Limit: 120 minutes
Passing Score: 70%
Language: English, Japanese (forthcoming)
Price: USD $295
Exam Question Format
Each CCA question requires you to solve a particular scenario. In some cases, a tool such as Impala or Hive may be used. In other cases, coding is required. In order to speed up development time of Spark questions, a template is often provided that contains a skeleton of the solution, asking the candidate to fill in the missing lines with functional code. This template is written in either Scala or Python.
You are not required to use the template and may solve the scenario using a language you prefer. Be aware, however, that coding every problem from scratch may take more time than is allocated for the exam.
Evaluation, Score Reporting, and Certificate
Your exam is graded immediately upon submission and you are e-mailed a score report the same day as your exam. Your score report displays the problem number for each problem you attempted and a grade on that problem. If you fail a problem, the score report includes the criteria you failed (e.g., “Records contain incorrect data” or “Incorrect file format”). We do not report more information in order to protect the exam content. Read more about reviewing exam content on the FAQ.
If you pass the exam, you receive a second e-mail within a few days of your exam with your digital certificate as a PDF, your license number, a Linkedin profile update, and a link to download your CCA logos for use in your personal business collateral and social media profiles
Audience and Prerequisites
There are no prerequisites required to take any Cloudera certification exam. The CCA Spark and Hadoop Developer exam (CCA175) follows the same objectives as Cloudera Developer Training for Spark and Hadoop and the training course is an excellent preparation for the exam.
Register for CCA175
Required Skills
Data Ingest
The skills to transfer data between external systems and your cluster. This includes the following:
Import data from a MySQL database into HDFS using Sqoop
Export data to a MySQL database from HDFS using Sqoop
Change the delimiter and file format of data during import using Sqoop
Ingest real-time and near-real time (NRT) streaming data into HDFS using Flume
Load data into and out of HDFS using the Hadoop File System (FS) commands
Transform, Stage, Store
Convert a set of data values in a given format stored in HDFS into new data values and/or a new data format and write them into HDFS. This includes writing Spark applications in both Scala and Python (see note above on exam question format for more information on using either Scala or Python):
Load data from HDFS and store results back to HDFS using Spark
Join disparate datasets together using Spark
Calculate aggregate statistics (e.g., average or sum) using Spark
Filter data into a smaller dataset using Spark
Write a query that produces ranked or sorted data using Spark
Data Analysis
Use Data Definition Language (DDL) to create tables in the Hive metastore for use by Hive and Impala.
Read and/or create a table in the Hive metastore in a given schema
Extract an Avro schema from a set of datafiles using avro-tools
Create a table in the Hive metastore using the Avro file format and an external schema file
Improve query performance by creating partitioned tables in the Hive metastore
Evolve an Avro schema by changing JSON files

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Cloudera offers commercial enterprise and categorical versions of its Cloudera Distribution, together with Apache Hadoop. Cloudera’s view of the importance of qualified big records talent shines during the elements of its certification. It offers Cloudera certified Hadoop Administrator (CCAH) Certification for authorities, who're responsible for configuring, deploying, keeping, and securing Apache Hadoop clusters for creation or other enterprise uses. through this certification one may also be expected to understand the strategies used by way of accurate Apache Hadoop administrators.

to understand about the well-known aspects of CCAH you could consult with this hyperlink.

CCAH Examination sample For CCAH & CCAH improve examination:

examination Code: CCA-500

variety of Questions: 60

period: 90 minutes

Passing score: 70%

Languages obtainable: English, jap (upcoming)

examination payment: USD $295

The exam pattern is determined in such a way that it specializes in demonstrating the candidate’s technical expertise, skill, and ability to configure, deploy, maintain and secure an Apache Hadoop cluster and the ecosystem tasks that incorporate the enterprise statistics Hub.

CCAH upgrade examination:

examination Code: CCA-505

number of Questions: forty five

period: ninety minutes

Passing ranking: 70%

Languages: English, eastern (upcoming)

cost: USD $125

The sample for CCAH and CDH5 continues to be the same for each. additionally, notice that the Hadoop ecosystem gadgets are no longer treated one at a time as their personal section however are built-in during the exam. each CCA–500 and CCA–505 share the same percentage of gadgets per part.

Let’s take a look at the exam pattern of CCA – 500;

HDFS – 17%

function of HDFS Daemons

typical operation of an Apache Hadoop cluster, in facts storage as well as in data processing.

present features of computing methods that motivate a gadget like Apache Hadoop.

most important desires of HDFS Design.

determine acceptable use case for HDFS Federation in a given situation.

add-ons and daemon of an HDFS HA-Quorum cluster.

Analyze the position of HDFS safety (Kerberos).

gold standard information serialization alternative for a given state of affairs.

File examine and write paths.

instructions to govern information within the Hadoop file gadget shell.

YARN and MapReduce edition 2 – 17%

Upgrading a cluster from Hadoop 1.0 to Hadoop 2.0.

deploy MRv2 / YARN with all YARN daemons.

Design approach for MRv2.

How YARN handles aid allocations.

Workflow of MapReduce job operating on YARN

examine which information must be modified and the way emigrate a cluster from MRv1 to MRv2 running on YARN.

Hadoop Cluster Planning – 16%

issues to accept as true with when identifying the hardware and working methods for an Apache Hadoop cluster.

Get insights on the choices for deciding upon an OS.

decent abilities kernel tuning and disk swapping.

set up a hardware configuration applicable to a state of affairs.

identify the ecosystem components mandatory by using the cluster to fulfil the SLA, in a given situation.

discover the specifics for the workload, together with CPU, reminiscence, storage, disk I/O.

consider network utilization in Hadoop and are available up with a community design add-ons for a given scenario.

Hadoop Cluster setting up and Administration – 25%

How the cluster will tackle disk and computer failures in a given scenario.

Analyze logging configuration and its file layout.

fundamentals of Hadoop metrics and cluster wellness monitoring.

know the characteristic and intention of attainable equipment for cluster monitoring.

set up all the ecosystem accessories in CDH 5, like Impala, Flume, Oozie, Hue, Cloudera manager, Sqoop, Hive, and Pig.

figure the feature and purpose of attainable equipment for managing the Apache Hadoop file device.

aid administration – 10%

consider the normal design factor and goals of each Hadoop scheduler.

understand how the FIFO Scheduler allocates cluster elements.

investigate how the fair Scheduler allocates cluster supplies under YARN.

examine how the potential Scheduler allocates cluster components.

Monitoring and Logging – 15%

services and contours of Hadoop’s metric collection.

Analyze the NameNode and JobTracker internet UIs.

display screen cluster Daemons.

determine and video display CPU utilization on master nodes.

understand how to computer screen swap and reminiscence allocation on all nodes.

View and control Hadoop’s log info.

Interpret a log file.

note: The issues outlined above are more of a guideline as to the way to prepare for the examination. Cloudera recommends that a candidate absolutely be aware the targets for every exam and make the most of the materials and working towards courses counseled on these pages to gain a thorough realizing of the area of competencies related to the function the exam evaluates.

practice test particulars

Cloudera Certification apply assessments (paid) are designed to simulate the exam sample of CCAH. it's recommended to soak up this observe test prior to taking on the exam to evaluate your degree of coaching.

here’s what be sure you expect in this apply verify:

60 questions akin to Cloudera Certification questions.

detailed explanations for relevant/wrong answers to consider the ideas.

follow tests are created via the same liable for developing questions for Cloudera Certification exams.

examine any time and anyplace through smartphones and tablets.

try a free observe examine demo that contains 15 questions from CCAH.

that you may check out the instructions for the practice test right here.